Classification of high spatial resolution imagery using improved Gaussian Markov random-field-based texture features

IEEE Transactions on Geoscience and Remote Sensing

Volumn 45, Issue 5, 2007, Pages 1458-1468

  Zhao, Yindi ^b   Zhang, Liangpei ^a,b   Li, Pingxiang ^a,b   Huang, Bo ^c  

^a IEEE   (China)

^b WUHAN UNIVERSITY   (China)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Classifying texture samples; Gaussian Markov random fields (GMRFs); Least squares (LS) method; Priority sequence; Residential area detection

Indexed keywords

CLASSIFYING TEXTURE SAMPLES; GAUSSIAN MARKOV RANDOM FIELDS (GMRF); PRIORITY SEQUENCE; RESIDENTIAL AREA DETECTION;

FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION; LEAST SQUARES APPROXIMATIONS; MARKOV PROCESSES; PIXELS;

IMAGE CLASSIFICATION;

EID: 34247530976     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2007.892602     Document Type: Article

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